FB2026_02 , released June 18, 2026
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Citation
Karpova, E.K., Komyshev, E.G., Genaev, M.A., Adonyeva, N.V., Afonnikov, D.A., Eremina, M.A., Gruntenko, N.E. (2020). Quantifying Drosophila adults with the use of a smartphone.  Biol. Open 9(10): bio054452.
FlyBase ID
FBrf0246907
Publication Type
Research paper
Abstract
A method for automation of imago quantifying and fecundity assessment in Drosophila with the use of mobile devices running Android operating system is proposed. The traditional manual method of counting the progeny takes a long time and limits the opportunity of making large-scale experiments. Thus, the development of computerized methods that would allow us to automatically make a quantitative estimate of Drosophilamelanogaster fecundity is an urgent requirement. We offer a modification of the mobile application SeedCounter that analyzes images of objects placed on a standard sheet of paper for an automatic calculation of D. melanogaster offspring or quantification of adult flies in any other kind of experiment. The relative average error in estimates of the number of flies by mobile app is about 2% in comparison with the manual counting and the processing time is six times shorter. Study of the effects of imaging conditions on accuracy of flies counting showed that lighting conditions do not significantly affect this parameter, and higher accuracy can be achieved using high-resolution smartphone cameras (8 Mpx and more). These results indicate the high accuracy and efficiency of the method suggested.This article has an associated First Person interview with the first author of the paper.
PubMed ID
PubMed Central ID
PMC7561479 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Biol. Open
    Title
    Biology open
    ISBN/ISSN
    2046-6390
    Data From Reference